| Title: | Influence of very large spatial heterogeneity on estimates of sea-level trends |
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| Authors: | ID Shapoval, Alexander (Author)
ID Le Mouël, Jean-Louis (Author)
ID Courtillot, Vincent (Author)
ID Shnirman, M. (Author) |
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| Files: |
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| Language: | English |
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| Work type: | Unknown |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | UNG - University of Nova Gorica
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| Abstract: | We propose a new method to estimate sub-decadal to centennial time scales of sea-level change. Since the coastal data exhibit large spatial heterogeneity and temporal variability, the global sea-level rate is estimated as an appropriate average of the rates observed at available locations and computed with sliding windows. We claim that under such heterogeneity the median serves as a better representative of an adequate average than the mean. With this approach, the sea-level rate in 60 to 70 yr windows over the past century is found to be smaller than 1.7-1.9 mm/yr. These upper estimates are in line with those obtained with a scarce list of available long quasi-gapless series |
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| Keywords: | sea-level rise, median, sliding window, statistically significant trend |
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| Year of publishing: | 2020 |
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| Number of pages: | str. 1-9 |
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| Numbering: | Vol. 386, 386 |
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| PID: | 20.500.12556/RUNG-6344 |
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| COBISS.SI-ID: | 55313923 |
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| UDC: | 519.2 |
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| ISSN on article: | 0096-3003 |
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| DOI: | 10.1016/j.amc.2020.125485 |
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| NUK URN: | URN:SI:UNG:REP:8FWHSWGV |
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| Publication date in RUNG: | 16.03.2021 |
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| Views: | 2822 |
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| Downloads: | 0 |
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